Cooperation within von Willebrand factors enhances adsorption mechanism

Heidari, M ; Sharif University of Technology | 2015

752 Viewed
  1. Type of Document: Article
  2. DOI: 10.1098/rsif.2015.0334
  3. Publisher: Royal Society of London , 2015
  4. Abstract:
  5. von Willebrand factor (VWF) is a naturally collapsed protein that participates in primary haemostasis and coagulation events. The clotting process is triggered by the adsorption and conformational changes of the plasma VWFs localized to the collagen fibres found near the site of injury. We develop coarse-grained models to simulate the adsorption dynamics of VWF flowing near the adhesive collagen fibres at different shear rates and investigate the effect of factors such as interaction and cooperativity of VWFs on the success of adsorption events. The adsorption probability of a flowing VWF confined to the receptor field is enhanced when it encounters an adhered VWF in proximity to the collagen receptors. This enhancement is observed within a wide range of shear rates and is mostly controlled by the attractive van der Waals interactions rather than the hydrodynamic interactions among VWF monomers. The cooperativity between the VWFs acts as an effective mechanism for enhancing VWF adsorption to the collagen fibres. Additionally, this implies that the adsorption of such molecules is nonlinearly dependent on the density of flowing VWFs. These findings are important for studies of primary haemostasis as well as general adsorption dynamics processes in polymer physics
  6. Keywords:
  7. Coarse-grained modelling ; Collagen ; Glycoproteins ; Shear deformation ; Van der Waals forces ; Adsorption mechanism ; Adsorption probabilities ; Coarse grained models ; Coarse-grained ; Cooperativity ; Hydrodynamic interaction ; Van Der waals interactions ; Von willebrand factor ; Adsorption ; Collagen receptor ; Adsorption kinetics ; Adsorption probability ; Coarse grained model ; Collagen fiber ; Hydrodynamics ; Model ; Protein cooperativity ; Protein function ; Shear flow ; Simulation ; Statistical parameters
  8. Source: Journal of the Royal Society Interface ; Volume 12, Issue 109 , 2015 ; 17425689 (ISSN)
  9. URL: http://rsif.royalsocietypublishing.org/content/12/109/20150334.short